Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5175-2018
https://doi.org/10.5194/hess-22-5175-2018
Research article
 | 
05 Oct 2018
Research article |  | 05 Oct 2018

Design water demand of irrigation for a large region using a high-dimensional Gaussian copula

Xinjun Tu, Yiliang Du, Vijay P. Singh, Xiaohong Chen, Kairong Lin, and Haiou Wu

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (13 Aug 2018) by Luis Samaniego
AR by Xinjun Tu on behalf of the Authors (13 Aug 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (18 Aug 2018) by Luis Samaniego
RR by Anonymous Referee #1 (27 Aug 2018)
RR by Anonymous Referee #2 (28 Aug 2018)
ED: Publish as is (11 Sep 2018) by Luis Samaniego
AR by Xinjun Tu on behalf of the Authors (12 Sep 2018)  Author's response   Manuscript 
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Short summary
For given frequencies of precipitation of a large region, design water demands of irrigation of the entire region among three methods, i.e., equalized frequency, typical year and most-likely weight function, slightly differed, but their alterations in sub-regions were complicated. A design procedure using the most-likely weight function in association with a high-dimensional copula, which built a linkage between regional frequency and sub-regional frequency of precipitation, is recommended.